| Year |
Citation |
Score |
| 2021 |
Shi B, Choirat C, Coull BA, VanderWeele TJ, Valeri L. CMAverse: a suite of functions for reproducible causal mediation analyses. Epidemiology (Cambridge, Mass.). PMID 34028370 DOI: 10.1097/EDE.0000000000001378 |
0.482 |
|
| 2020 |
Mathur MB, VanderWeele TJ. Sensitivity analysis for publication bias in meta-analyses. Journal of the Royal Statistical Society. Series C, Applied Statistics. 69: 1091-1119. PMID 33132447 DOI: 10.1111/Rssc.12440 |
0.313 |
|
| 2020 |
Kim ES, Chen Y, Kawachi I, VanderWeele TJ. Perceived neighborhood social cohesion and subsequent health and well-being in older adults: An outcome-wide longitudinal approach. Health & Place. 66: 102420. PMID 32905980 DOI: 10.1016/J.Healthplace.2020.102420 |
0.329 |
|
| 2020 |
Long KNG, Chen Y, Potts M, Hanson J, VanderWeele TJ. Spiritually Motivated Self-Forgiveness and Divine Forgiveness, and Subsequent Health and Well-Being Among Middle-Aged Female Nurses: An Outcome-Wide Longitudinal Approach. Frontiers in Psychology. 11: 1337. PMID 32733311 DOI: 10.3389/Fpsyg.2020.01337 |
0.318 |
|
| 2020 |
Kim ES, Whillans AV, Lee MT, Chen Y, VanderWeele TJ. Volunteering and Subsequent Health and Well-Being in Older Adults: An Outcome-Wide Longitudinal Approach. American Journal of Preventive Medicine. PMID 32536452 DOI: 10.1016/J.Amepre.2020.03.004 |
0.315 |
|
| 2020 |
Mathur MB, VanderWeele TJ. Robust Metrics and Sensitivity Analyses for Meta-analyses of Heterogeneous Effects. Epidemiology (Cambridge, Mass.). PMID 32141922 DOI: 10.1097/Ede.0000000000001180 |
0.317 |
|
| 2020 |
VanderWeele TJ, Mathur MB, Chen Y. Rejoinder: The Future of Outcome-Wide Studies Statistical Science. 35: 479-483. DOI: 10.1214/20-Sts791 |
0.301 |
|
| 2019 |
VanderWeele TJ. Optimal approximate conversions of odds ratios and hazard ratios to risk ratios. Biometrics. PMID 31808145 DOI: 10.1111/Biom.13197 |
0.302 |
|
| 2019 |
VanderWeele TJ. Counterfactuals in Social Epidemiology: Thinking Outside of "The Box". American Journal of Epidemiology. PMID 31566208 DOI: 10.1093/Aje/Kwz198 |
0.311 |
|
| 2019 |
Chen Y, Harris SK, Worthington EL, VanderWeele TJ. Religiously or Spiritually-Motivated Forgiveness and Subsequent Health and Well-Being among Young Adults: An Outcome-Wide Analysis. The Journal of Positive Psychology. 14: 649-658. PMID 31360213 DOI: 10.1080/17439760.2018.1519591 |
0.341 |
|
| 2019 |
Smith LH, VanderWeele TJ. Mediational E-values: Approximate sensitivity analysis for unmeasured mediator-outcome confounding. Epidemiology (Cambridge, Mass.). PMID 31348008 DOI: 10.1097/Ede.0000000000001064 |
0.353 |
|
| 2019 |
VanderWeele TJ. The Interaction Continuum. Epidemiology (Cambridge, Mass.). PMID 31205287 DOI: 10.1097/Ede.0000000000001054 |
0.324 |
|
| 2019 |
VanderWeele TJ, Li Y. Simple Sensitivity Analysis for Differential Measurement Error. American Journal of Epidemiology. PMID 31145435 DOI: 10.1093/Aje/Kwz133 |
0.332 |
|
| 2019 |
Smith LH, VanderWeele TJ. Bounding bias due to selection. Epidemiology (Cambridge, Mass.). PMID 31033690 DOI: 10.1097/Ede.0000000000001032 |
0.302 |
|
| 2019 |
VanderWeele TJ. Principles of confounder selection. European Journal of Epidemiology. PMID 30840181 DOI: 10.1007/S10654-019-00494-6 |
0.329 |
|
| 2019 |
VanderWeele TJ. Multiplicative Interactions Under Differential Outcome Measurement Error with Perfect Specificity. Epidemiology (Cambridge, Mass.). PMID 30789429 DOI: 10.1097/Ede.0000000000000979 |
0.305 |
|
| 2019 |
Jackson JW, VanderWeele TJ. Intersectional decomposition analysis with differential exposure, effects, and construct. Social Science & Medicine (1982). PMID 30770131 DOI: 10.1016/J.Socscimed.2019.01.033 |
0.334 |
|
| 2019 |
Chen Y, Kim ES, Koh HK, Frazier AL, VanderWeele TJ. Sense of Mission and Subsequent Health and Well-being among Young Adults:An Outcome-Wide Analysis. American Journal of Epidemiology. PMID 30649174 DOI: 10.1093/Aje/Kwz009 |
0.325 |
|
| 2018 |
VanderWeele TJ, Valeri L, Ananth CV. Mediation Formulas with Binary Mediators and Outcomes and the "Rare Outcome Assumption". American Journal of Epidemiology. PMID 30590417 DOI: 10.1093/Aje/Kwy281 |
0.594 |
|
| 2018 |
Mathur MB, VanderWeele TJ. New metrics for meta-analyses of heterogeneous effects. Statistics in Medicine. PMID 30513552 DOI: 10.1002/Sim.8057 |
0.314 |
|
| 2018 |
Chen Y, VanderWeele TJ. Religious Upbringing and Health and Well-Being From Adolescence to Young Adulthood: An Outcome-Wide Analysis. American Journal of Epidemiology. PMID 30215663 DOI: 10.1093/Aje/Kwy142 |
0.319 |
|
| 2018 |
Jackson JW, VanderWeele TJ. Decomposition analysis to identify intervention targets for reducing disparities. Epidemiology (Cambridge, Mass.). PMID 30063540 DOI: 10.1097/Ede.0000000000000901 |
0.301 |
|
| 2017 |
Liu L, Nevo D, Nishihara R, Cao Y, Song M, Twombly TS, Chan AT, Giovannucci EL, VanderWeele TJ, Wang M, Ogino S. Utility of inverse probability weighting in molecular pathological epidemiology. European Journal of Epidemiology. PMID 29264788 DOI: 10.1007/S10654-017-0346-8 |
0.301 |
|
| 2017 |
Spiegelman D, Khudyakov P, Wang M, Vanderweele TJ. Evaluating Public Health Interventions: 7. Let the Subject Matter Choose the Effect Measure: Ratio, Difference, or Something Else Entirely. American Journal of Public Health. e1-e4. PMID 29161073 DOI: 10.2105/Ajph.2017.304105 |
0.303 |
|
| 2017 |
Barfield R, Shen J, Just AC, Vokonas PS, Schwartz J, Baccarelli AA, VanderWeele TJ, Lin X. Testing for the indirect effect under the null for genome-wide mediation analyses. Genetic Epidemiology. PMID 29082545 DOI: 10.1002/Gepi.22084 |
0.32 |
|
| 2017 |
Ding P, VanderWeele TJ, Robins JM. Instrumental variables as bias amplifiers with general outcome and confounding. Biometrika. 104: 291-302. PMID 29033459 DOI: 10.1093/Biomet/Asx009 |
0.36 |
|
| 2017 |
Keogh RH, Daniel RM, Vanderweele TJ, Vansteelandt S. Analysis of longitudinal studies with repeated outcome measures: adjusting for time-dependent confounding using conventional methods. American Journal of Epidemiology. PMID 29020128 DOI: 10.1093/Aje/Kwx311 |
0.362 |
|
| 2017 |
VanderWeele TJ, Tchetgen Tchetgen EJ. Mediation analysis with time varying exposures and mediators. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 79: 917-938. PMID 28824285 DOI: 10.1111/Rssb.12194 |
0.325 |
|
| 2017 |
Lin SH, Young JG, Logan R, VanderWeele TJ. Mediation analysis for a survival outcome with time-varying exposures, mediators, and confounders. Statistics in Medicine. PMID 28809051 DOI: 10.1002/Sim.7426 |
0.306 |
|
| 2017 |
Bind MA, VanderWeele TJ, Schwartz JD, Coull BA. Quantile causal mediation analysis allowing longitudinal data. Statistics in Medicine. PMID 28786129 DOI: 10.1002/Sim.7423 |
0.33 |
|
| 2017 |
VanderWeele TJ, Ding P. Sensitivity Analysis in Observational Research: Introducing the E-Value. Annals of Internal Medicine. PMID 28693043 DOI: 10.7326/M16-2607 |
0.326 |
|
| 2017 |
Sun B, VanderWeele T, Tchetgen EJ. MULTINOMIAL REGRESSION FOR OUTCOME HETEROGENEITY. American Journal of Epidemiology. PMID 28595286 DOI: 10.1093/Aje/Kwx161 |
0.344 |
|
| 2017 |
Spiegelman D, VanderWeele TJ. Evaluating Public Health Interventions: 6. Modeling Ratios or Differences? Let the Data Tell Us. American Journal of Public Health. 107: 1087-1091. PMID 28590865 DOI: 10.2105/Ajph.2017.303810 |
0.314 |
|
| 2017 |
VanderWeele TJ. Outcome-wide Epidemiology. Epidemiology (Cambridge, Mass.). PMID 28166102 DOI: 10.1097/Ede.0000000000000641 |
0.329 |
|
| 2017 |
VanderWeele TJ. On Causes, Causal Inference, and Potential Outcomes. International Journal of Epidemiology. PMID 28130319 DOI: 10.1093/Ije/Dyw230 |
0.308 |
|
| 2017 |
Ogburn EL, VanderWeele TJ. Vaccines, contagion, and social networks The Annals of Applied Statistics. 11: 919-948. DOI: 10.1214/17-Aoas1023 |
0.311 |
|
| 2016 |
VanderWeele TJ. The role of potential outcomes thinking in assessing mediation and interaction. International Journal of Epidemiology. PMID 27864414 DOI: 10.1093/Ije/Dyw280 |
0.321 |
|
| 2016 |
VanderWeele TJ, Jackson JW, Li S. Causal inference and longitudinal data: a case study of religion and mental health. Social Psychiatry and Psychiatric Epidemiology. PMID 27631394 DOI: 10.1007/S00127-016-1281-9 |
0.302 |
|
| 2016 |
Chen YH, Mukherjee B, Ferguson KK, Meeker JD, VanderWeele TJ. MEDIATION FORMULA FOR A BINARY OUTCOME AND A TIME-VARYING EXPOSURE AND MEDIATOR, ACCOUNTING FOR POSSIBLE EXPOSURE-MEDIATOR INTERACTION. American Journal of Epidemiology. PMID 27325886 DOI: 10.1093/Aje/Kww045 |
0.334 |
|
| 2016 |
Ding P, Vanderweele TJ. Sharp sensitivity bounds for mediation under unmeasured mediator-outcome confounding. Biometrika. 103: 483-490. PMID 27279672 DOI: 10.1093/Biomet/Asw012 |
0.355 |
|
| 2016 |
VanderWeele T, Zhang Y, Lim P. Mediation analysis with an ordinal outcome. Epidemiology (Cambridge, Mass.). PMID 27258323 DOI: 10.1097/Ede.0000000000000510 |
0.363 |
|
| 2016 |
Ding P, VanderWeele T. Sensitivity Analysis Without Assumptions. Epidemiology (Cambridge, Mass.). PMID 26841057 DOI: 10.1097/Ede.0000000000000457 |
0.372 |
|
| 2016 |
VanderWeele TJ. Mediation Analysis: A Practitioner's Guide. Annual Review of Public Health. 37: 17-32. PMID 26653405 DOI: 10.1146/Annurev-Publhealth-032315-021402 |
0.404 |
|
| 2015 |
Valeri L, Chen JT, Garcia-Albeniz X, Krieger N, VanderWeele TJ, Coull BA. The role of stage at diagnosis in colorectal cancer black-white survival disparities: a counterfactual causal inference approach. Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association For Cancer Research, Cosponsored by the American Society of Preventive Oncology. PMID 26503034 DOI: 10.1158/1055-9965.Epi-15-0456 |
0.53 |
|
| 2015 |
Ikram MA, VanderWeele TJ. A proposed clinical and biological interpretation of mediated interaction. European Journal of Epidemiology. 30: 1115-8. PMID 26438385 DOI: 10.1007/S10654-015-0087-5 |
0.332 |
|
| 2015 |
Bind MC, Vanderweele TJ, Coull BA, Schwartz JD. Causal mediation analysis for longitudinal data with exogenous exposure. Biostatistics (Oxford, England). PMID 26272993 DOI: 10.1093/Biostatistics/Kxv029 |
0.361 |
|
| 2015 |
Jiang Z, VanderWeele TJ. When is the difference method conservative for assessing mediation? American Journal of Epidemiology. 182: 105-8. PMID 25944885 DOI: 10.1093/Aje/Kwv059 |
0.362 |
|
| 2015 |
Valeri L, VanderWeele TJ. SAS macro for causal mediation analysis with survival data. Epidemiology (Cambridge, Mass.). 26: e23-4. PMID 25643116 DOI: 10.1097/Ede.0000000000000253 |
0.531 |
|
| 2015 |
Jiang Z, VanderWeele TJ. Additive interaction in the presence of a mismeasured outcome. American Journal of Epidemiology. 181: 81-2. PMID 25515166 DOI: 10.1093/Aje/Kwu351 |
0.362 |
|
| 2015 |
Jiang Z, VanderWeele TJ. Causal mediation analysis in the presence of a mismeasured outcome. Epidemiology (Cambridge, Mass.). 26: e8-9. PMID 25437327 DOI: 10.1097/Ede.0000000000000204 |
0.322 |
|
| 2014 |
VanderWeele TJ, Chiba Y. Sensitivity analysis for direct and indirect effects in the presence of exposure-induced mediator-outcome confounders. Epidemiology, Biostatistics, and Public Health. 11. PMID 25580387 DOI: 10.2427/9027 |
0.371 |
|
| 2014 |
Valeri L, Lin X, VanderWeele TJ. Mediation analysis when a continuous mediator is measured with error and the outcome follows a generalized linear model. Statistics in Medicine. 33: 4875-90. PMID 25220625 DOI: 10.1002/Sim.6295 |
0.604 |
|
| 2014 |
VanderWeele TJ, Tchetgen Tchetgen EJ. Attributing effects to interactions. Epidemiology (Cambridge, Mass.). 25: 711-22. PMID 25051310 DOI: 10.1097/Ede.0000000000000096 |
0.322 |
|
| 2014 |
VanderWeele TJ. A unification of mediation and interaction: a 4-way decomposition. Epidemiology (Cambridge, Mass.). 25: 749-61. PMID 25000145 DOI: 10.1097/Ede.0000000000000121 |
0.339 |
|
| 2014 |
VanderWeele TJ, Tchetgen Tchetgen EJ, Cornelis M, Kraft P. Methodological challenges in mendelian randomization. Epidemiology (Cambridge, Mass.). 25: 427-35. PMID 24681576 DOI: 10.1097/Ede.0000000000000081 |
0.376 |
|
| 2014 |
Valeri L, Vanderweele TJ. The estimation of direct and indirect causal effects in the presence of misclassified binary mediator. Biostatistics (Oxford, England). 15: 498-512. PMID 24671909 DOI: 10.1093/Biostatistics/Kxu007 |
0.619 |
|
| 2014 |
VanderWeele TJ, Vansteelandt S. Invited commentary: Some advantages of the relative excess risk due to interaction (RERI)--towards better estimators of additive interaction. American Journal of Epidemiology. 179: 670-1. PMID 24488514 DOI: 10.1093/Aje/Kwt316 |
0.339 |
|
| 2014 |
Vanderweele TJ, Vansteelandt S, Robins JM. Effect decomposition in the presence of an exposure-induced mediator-outcome confounder. Epidemiology (Cambridge, Mass.). 25: 300-6. PMID 24487213 DOI: 10.1097/Ede.0000000000000034 |
0.38 |
|
| 2014 |
Tchetgen Tchetgen EJ, Vanderweele TJ. Identification of natural direct effects when a confounder of the mediator is directly affected by exposure. Epidemiology (Cambridge, Mass.). 25: 282-91. PMID 24487211 DOI: 10.1097/Ede.0000000000000054 |
0.37 |
|
| 2014 |
Taylor AE, Davies NM, Ware JJ, Vanderweele T, Smith GD, Munafò MR. Mendelian randomization in health research: Using appropriate genetic variants and avoiding biased estimates Economics and Human Biology. 13: 99-106. PMID 24388127 DOI: 10.1016/J.Ehb.2013.12.002 |
0.331 |
|
| 2014 |
Ogburn EL, VanderWeele TJ. Causal diagrams for interference Statistical Science. 29: 559-578. DOI: 10.1214/14-Sts501 |
0.342 |
|
| 2014 |
Ding P, Vanderweele TJ. Generalized Cornfield conditions for the risk difference Biometrika. 101: 971-977. DOI: 10.1093/Biomet/Asu030 |
0.32 |
|
| 2013 |
VanderWeele TJ, Shpitser I. On the definition of a confounder. Annals of Statistics. 41: 196-220. PMID 25544784 DOI: 10.1214/12-Aos1058 |
0.337 |
|
| 2013 |
Vanderweele TJ. Surrogate measures and consistent surrogates. Biometrics. 69: 561-9. PMID 24073861 DOI: 10.1111/Biom.12071 |
0.332 |
|
| 2013 |
VanderWeele TJ. Reconsidering the denominator of the attributable proportion for interaction. European Journal of Epidemiology. 28: 779-84. PMID 24037116 DOI: 10.1007/S10654-013-9843-6 |
0.331 |
|
| 2013 |
Ogburn EL, Vanderweele TJ. Bias attenuation results for nondifferentially mismeasured ordinal and coarsened confounders. Biometrika. 100: 241-248. PMID 24014285 DOI: 10.1093/Biomet/Ass054 |
0.351 |
|
| 2013 |
Sauer BC, Brookhart MA, Roy J, VanderWeele T. A review of covariate selection for non-experimental comparative effectiveness research. Pharmacoepidemiology and Drug Safety. 22: 1139-45. PMID 24006330 DOI: 10.1002/Pds.3506 |
0.325 |
|
| 2013 |
Vanderweele TJ, Hong G, Jones SM, Brown JL. Mediation and spillover effects in group-randomized trials: a case study of the 4Rs educational intervention. Journal of the American Statistical Association. 108: 469-482. PMID 23997375 DOI: 10.1080/01621459.2013.779832 |
0.313 |
|
| 2013 |
Valeri L, Vanderweele TJ. Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros. Psychological Methods. 18: 137-50. PMID 23379553 DOI: 10.1037/A0031034 |
0.604 |
|
| 2013 |
VanderWeele TJ. A three-way decomposition of a total effect into direct, indirect, and interactive effects. Epidemiology (Cambridge, Mass.). 24: 224-32. PMID 23354283 DOI: 10.1097/Ede.0B013E318281A64E |
0.334 |
|
| 2013 |
Valeri L, VanderWeele TJ. "Mediation analysis allowing for exposure–mediator interactions and causal interpretation: Theoretical assumptions and implementation with SAS and SPSS macros": Correction to Valeri and VanderWeele (2013). Psychological Methods. 18: 474-474. DOI: 10.1037/A0035596 |
0.571 |
|
| 2012 |
VanderWeele TJ. Comments: Should Principal Stratification Be Used to Study Mediational Processes? Journal of Research On Educational Effectiveness. 5: 245-249. PMID 25558296 DOI: 10.1080/19345747.2012.688412 |
0.35 |
|
| 2012 |
Vansteelandt S, VanderWeele TJ, Robins JM. Semiparametric tests for sufficient cause interaction. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 74: 223-244. PMID 25558182 DOI: 10.1111/J.1467-9868.2011.01011.X |
0.352 |
|
| 2012 |
VanderWeele TJ, Richardson TS. GENERAL THEORY FOR INTERACTIONS IN SUFFICIENT CAUSE MODELS WITH DICHOTOMOUS EXPOSURES. Annals of Statistics. 40: 2128-2161. PMID 25552780 DOI: 10.1214/12-Aos1019 |
0.337 |
|
| 2012 |
Vanderweele TJ, Robins JM. Stochastic counterfactuals and stochastic sufficient causes. Statistica Sinica. 22: 379-392. PMID 25473251 DOI: 10.5705/Ss.2008.186 |
0.341 |
|
| 2012 |
Vanderweele TJ. Inference for additive interaction under exposure misclassification. Biometrika. 99: 502-508. PMID 23843668 DOI: 10.1093/Biomet/Ass012 |
0.323 |
|
| 2012 |
Pierce BL, VanderWeele TJ. The effect of non-differential measurement error on bias, precision and power in Mendelian randomization studies. International Journal of Epidemiology. 41: 1383-93. PMID 23045203 DOI: 10.1093/Ije/Dys141 |
0.335 |
|
| 2012 |
Vansteelandt S, Vanderweele TJ. Natural direct and indirect effects on the exposed: effect decomposition under weaker assumptions. Biometrics. 68: 1019-27. PMID 22989075 DOI: 10.1111/J.1541-0420.2012.01777.X |
0.351 |
|
| 2012 |
Ogburn EL, VanderWeele TJ. Analytic results on the bias due to nondifferential misclassification of a binary mediator. American Journal of Epidemiology. 176: 555-61. PMID 22930481 DOI: 10.1093/Aje/Kws131 |
0.361 |
|
| 2012 |
Vanderweele TJ. Invited commentary: assessing mechanistic interaction between coinfecting pathogens for diarrheal disease. American Journal of Epidemiology. 176: 396-9. PMID 22842718 DOI: 10.1093/Aje/Kws214 |
0.303 |
|
| 2012 |
VanderWeele TJ, Valeri L, Ogburn EL. The role of measurement error and misclassification in mediation analysis: mediation and measurement error. Epidemiology (Cambridge, Mass.). 23: 561-4. PMID 22659547 DOI: 10.1097/Ede.0B013E318258F5E4 |
0.583 |
|
| 2012 |
VanderWeele TJ, Hernán MA. Results on differential and dependent measurement error of the exposure and the outcome using signed directed acyclic graphs. American Journal of Epidemiology. 175: 1303-10. PMID 22569106 DOI: 10.1093/Aje/Kwr458 |
0.316 |
|
| 2012 |
Vanderweele TJ. Mediation analysis with multiple versions of the mediator. Epidemiology (Cambridge, Mass.). 23: 454-63. PMID 22475830 DOI: 10.1097/Ede.0B013E31824D5Fe7 |
0.388 |
|
| 2012 |
Vanderweele TJ, Ogburnb EL. Theorems, proofs, examples, and rules in the practice of epidemiology. Epidemiology (Cambridge, Mass.). 23: 443-5. PMID 22475829 DOI: 10.1097/Ede.0B013E31824E2D4E |
0.346 |
|
| 2012 |
Ogburn EL, VanderWeele TJ. On the nondifferential misclassification of a binary confounder. Epidemiology (Cambridge, Mass.). 23: 433-9. PMID 22450692 DOI: 10.1097/Ede.0B013E31824D1F63 |
0.36 |
|
| 2012 |
Mukherjee B, Ko YA, Vanderweele T, Roy A, Park SK, Chen J. Principal interactions analysis for repeated measures data: application to gene-gene and gene-environment interactions. Statistics in Medicine. 31: 2531-51. PMID 22415818 DOI: 10.1002/Sim.5315 |
0.341 |
|
| 2012 |
VanderWeele TJ, Vandenbroucke JP, Tchetgen EJ, Robins JM. A mapping between interactions and interference: implications for vaccine trials. Epidemiology (Cambridge, Mass.). 23: 285-92. PMID 22317812 DOI: 10.1097/Ede.0B013E318245C4Ac |
0.312 |
|
| 2012 |
VanderWeele TJ, Mumford SL, Schisterman EF. Conditioning on intermediates in perinatal epidemiology. Epidemiology (Cambridge, Mass.). 23: 1-9. PMID 22157298 DOI: 10.1097/Ede.0B013E31823Aca5D |
0.348 |
|
| 2012 |
Vanderweele TJ, Mukherjee B, Chen J. Sensitivity analysis for interactions under unmeasured confounding. Statistics in Medicine. 31: 2552-64. PMID 21976358 DOI: 10.1002/Sim.4354 |
0.333 |
|
| 2012 |
Tchetgen EJT, Vanderweele TJ. On causal inference in the presence of interference Statistical Methods in Medical Research. 21: 55-75. PMID 21068053 DOI: 10.1177/0962280210386779 |
0.35 |
|
| 2011 |
VanderWeele TJ. Controlled direct and mediated effects: definition, identification and bounds. Scandinavian Journal of Statistics, Theory and Applications. 38: 551-563. PMID 25309023 DOI: 10.1111/J.1467-9469.2010.00722.X |
0.341 |
|
| 2011 |
VanderWeele TJ, Vansteelandt S. A weighting approach to causal effects and additive interaction in case-control studies: marginal structural linear odds models. American Journal of Epidemiology. 174: 1197-203. PMID 22058231 DOI: 10.1093/Aje/Kwr334 |
0.35 |
|
| 2011 |
Knol MJ, VanderWeele TJ. Recoding preventive exposures to get valid measures of interaction on an additive scale. European Journal of Epidemiology. 26: 825-6; author reply . PMID 21892791 DOI: 10.1007/S10654-011-9613-2 |
0.325 |
|
| 2011 |
Vanderweele TJ. Principal stratification--uses and limitations. The International Journal of Biostatistics. 7. PMID 21841939 DOI: 10.2202/1557-4679.1329 |
0.318 |
|
| 2011 |
VanderWeele TJ, Chen Y, Ahsan H. Inference for causal interactions for continuous exposures under dichotomization. Biometrics. 67: 1414-21. PMID 21689079 DOI: 10.1111/J.1541-0420.2011.01629.X |
0.323 |
|
| 2011 |
VanderWeele TJ. Causal mediation analysis with survival data. Epidemiology (Cambridge, Mass.). 22: 582-5. PMID 21642779 DOI: 10.1097/Ede.0B013E31821Db37E |
0.321 |
|
| 2011 |
VanderWeele TJ, Shpitser I. A new criterion for confounder selection. Biometrics. 67: 1406-13. PMID 21627630 DOI: 10.1111/J.1541-0420.2011.01619.X |
0.342 |
|
| 2011 |
VanderWeele TJ. Causal interactions in the proportional hazards model Epidemiology. 22: 713-717. PMID 21558856 DOI: 10.1097/Ede.0B013E31821Db503 |
0.332 |
|
| 2011 |
Shpitser I, VanderWeele TJ. A complete graphical criterion for the adjustment formula in mediation analysis. The International Journal of Biostatistics. 7: 16. PMID 21556286 DOI: 10.2202/1557-4679.1297 |
0.339 |
|
| 2011 |
Vanderweele TJ, Knol MJ. Remarks on antagonism American Journal of Epidemiology. 173: 1140-1147. PMID 21490044 DOI: 10.1093/Aje/Kwr009 |
0.343 |
|
| 2011 |
Ananth CV, Vanderweele TJ. Placental abruption and perinatal mortality with preterm delivery as a mediator: Disentangling direct and indirect effects American Journal of Epidemiology. 174: 99-108. PMID 21430195 DOI: 10.1093/Aje/Kwr045 |
0.328 |
|
| 2011 |
Chiba Y, Vanderweele TJ. A simple method for principal strata effects when the outcome has been truncated due to death American Journal of Epidemiology. 173: 745-751. PMID 21354986 DOI: 10.1093/Aje/Kwq418 |
0.326 |
|
| 2011 |
Vanderweele TJ, Arah OA. Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments, and confounders. Epidemiology (Cambridge, Mass.). 22: 42-52. PMID 21052008 DOI: 10.1097/Ede.0B013E3181F74493 |
0.358 |
|
| 2011 |
Hafeman DM, VanderWeele TJ. Alternative assumptions for the identification of direct and indirect effects. Epidemiology (Cambridge, Mass.). 22: 753-64. PMID 20502339 DOI: 10.1097/Ede.0B013E3181C311B2 |
0.341 |
|
| 2010 |
VanderWeele TJ, Vansteelandt S. Odds ratios for mediation analysis for a dichotomous outcome American Journal of Epidemiology. 172: 1339-1348. PMID 21036955 DOI: 10.1093/Aje/Kwq332 |
0.389 |
|
| 2010 |
Vanderweele TJ. Bias formulas for sensitivity analysis for direct and indirect effects Epidemiology. 21: 540-551. PMID 20479643 DOI: 10.1097/Ede.0B013E3181Df191C |
0.386 |
|
| 2010 |
Vanderweele TJ, Vansteelandt S, Robins JM. Marginal structural models for sufficient cause interactions American Journal of Epidemiology. 171: 506-514. PMID 20067916 DOI: 10.1093/Aje/Kwp396 |
0.338 |
|
| 2010 |
VanderWeele TJ. Concerning the consistency assumption in causal inference. Epidemiology (Cambridge, Mass.). 20: 880-3. PMID 19829187 DOI: 10.1097/Ede.0B013E3181Bd5638 |
0.312 |
|
| 2010 |
Vanderweele TJ. Sufficient cause interactions for categorical and ordinal exposures with three levels Biometrika. 97: 647-659. DOI: 10.1093/Biomet/Asq030 |
0.314 |
|
| 2009 |
Vanderweele TJ. On the distinction between interaction and effect modification Epidemiology. 20: 863-871. PMID 19806059 DOI: 10.1097/Ede.0B013E3181Ba333C |
0.308 |
|
| 2009 |
VanderWeele T. The use of propensity score methods in psychiatric research. International Journal of Methods in Psychiatric Research. 15: 95-103. PMID 19722290 DOI: 10.1002/Mpr.183 |
0.327 |
|
| 2009 |
Vanderweele TJ. Sufficient cause interactions and statistical interactions Epidemiology. 20: 6-13. PMID 19234396 DOI: 10.1097/Ede.0B013E31818F69E7 |
0.329 |
|
| 2009 |
Vanderweele TJ, Vansteelandt S. Conceptual issues concerning mediation, interventions and composition Statistics and Its Interface. 2: 457-468. DOI: 10.4310/Sii.2009.V2.N4.A7 |
0.351 |
|
| 2008 |
Vanderweele TJ. Sensitivity analysis: Distributional assumptions and confounding assumptions Biometrics. 64: 645-649. PMID 18482060 DOI: 10.1111/J.1541-0420.2008.01024.X |
0.329 |
|
| 2008 |
VanderWeele TJ. The sign of the bias of unmeasured confounding Biometrics. 64: 702-706. PMID 18177462 DOI: 10.1111/J.1541-0420.2007.00957.X |
0.329 |
|
| 2008 |
VanderWeele TJ. Ignorability and stability assumptions in neighborhood effects research Statistics in Medicine. 27: 1934-1943. PMID 18050151 DOI: 10.1002/Sim.3139 |
0.347 |
|
| 2008 |
Vansteelandt S, Vanderweele TJ, Tchetgen EJ, Robins JM. Multiply robust inference for statistical interactions Journal of the American Statistical Association. 103: 1693-1704. DOI: 10.1198/016214508000001084 |
0.364 |
|
| 2008 |
Vanderweele TJ, Robins JM. Empirical and counterfactual conditions for sufficient cause interactions Biometrika. 95: 49-61. DOI: 10.1093/Biomet/Asm090 |
0.305 |
|
| 2007 |
VanderWeele TJ, Robins JM. Four types of effect modification: A classification based on directed acyclic graphs Epidemiology. 18: 561-568. PMID 17700242 DOI: 10.1097/Ede.0B013E318127181B |
0.302 |
|
| 2006 |
VanderWeele TJ, Hernán MA. From counterfactuals to sufficient component causes and vice versa European Journal of Epidemiology. 21: 855-858. PMID 17225959 DOI: 10.1007/S10654-006-9075-0 |
0.34 |
|
| Show low-probability matches. |